Seeding the S-Curve: The Role of Early Adopters in Diffusion

Working Paper: NBER ID: w22596

Authors: Christian Catalini; Catherine Tucker

Abstract: In October 2014, all 4,494 undergraduates at the Massachusetts Institute of Technology were given access to Bitcoin, a decentralized digital currency. As a unique feature of the experiment, students who would generally adopt first were placed in a situation where many of their peers received access to the technology before them, and they then had to decide whether to continue to invest in this digital currency or exit. Our results suggest that when natural early adopters are delayed relative to their peers, they are more likely to reject the technology. We present further evidence that this appears to be driven by identity, in that the effect occurs in situations where natural early adopters' delay relative to others is most visible, and in settings where the natural early adopters would have been somewhat unique in their tech-savvy status. We then show not only that natural early adopters are more likely to reject the technology if they are delayed, but that this rejection generates spillovers on adoption by their peers who are not natural early adopters. This suggests that small changes in the initial availability of a technology have a lasting effect on its potential: Seeding a technology while ignoring early adopters' needs for distinctiveness is counterproductive.

Keywords: technology diffusion; early adopters; bitcoin; randomized controlled trial; identity

JEL Codes: D83; G29; L14; M13; M3; O31; O32; O33


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Increased likelihood of disadoption (J12)Negative spillovers on adoption by peers (C92)
Social context (size of dorm) (C92)Magnitude of disadoption effect (C22)
Delay in access to bitcoin (E42)Increased likelihood of disadoption (J12)
Delay in access to bitcoin (E42)Increased cash-out rates (G19)

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